Engineering Manager

• Providing strong technical support and clear direction to ensure the team is aligned with company goals and capable of delivering advanced AI projects.
• Managing resources efficiently to ensure projects are completed on schedule and to a high standard.
• Overseeing the performance of both individual team members and the team as a whole, fostering a culture of learning by identifying and addressing training and development needs.
• Establishing and supervising the implementation of engineering best practices to maintain consistency and excellence in development processes.
• Taking ownership of the quality of engineering products, making sure all solutions are robust, reliable, and meet high standards.

Senior AI Engineering Manager

• Lead a team of software engineers responsible for CCA Order Entry and Retail Inventory applications, including Retail Inventory Management (RIM), Parts Workbench Plus (PWB+/POEM), and related order visibility capabilities.
• Contribute directly within code repositories through pull request reviews, code-level guidance, debugging, and selective hands-on development.
• Own engineering execution across application delivery, production stability, modernization planning, support readiness, and continuous improvement.
• Partner with product, business, architecture, platform, cybersecurity, operations, and peer engineering teams to deliver reliable, scalable software solutions.
• Drive technical strategy for cloud migration, platform simplification, resiliency improvements, and AI-enabled capabilities.
• Build strong engineering practices across agile delivery, DevSecOps, observability, incident response, release management, and quality engineering.
• Coach and develop engineers through clear expectations, regular feedback, performance management, and growth opportunities.
• Establish accountability for delivery commitments, technical health, operational metrics, and customer impact.
• Translate complex business processes into clear engineering priorities and execution plans.
• Improve system reliability and incident readiness for business-critical platforms using production insights, metrics, and root-cause analysis.
• Work directly with CCA business and IT stakeholders to align engineering work with operational and commercial priorities.
• Communicate clearly with leaders on delivery status, risks, staffing, and technical strategy.

Software Engineering Manager – Customer Care, Aftersales

• Implement and communicate regional engineering strategies aligned with global goals.
• Standardize processes and drive performance through key metrics.
• Hire, mentor, and develop engineering talent.
• Build succession plans and foster a culture of continuous improvement.
• Lead innovation by researching, developing, and deploying advanced manufacturing technologies.
• Maintain a regional capability roadmap and stay ahead of industry trends.
• Partner with internal teams, customers, and suppliers to exchange knowledge and drive strategic projects.
• Optimize cost, streamline processes, and ensure project milestones deliver maximum value.

Regional Manufacturing Engineering Manager

• Lead, mentor, and grow a high-performing mobile engineering organization of 10+ engineers, fostering a culture of ownership, collaboration, and customer obsession.
• Drive the delivery of high-quality mobile experiences for consumer fintech and marketplace products, balancing near-term roadmap execution with long-term platform investments.
• Execute Mudflap's mobile engineering strategy, shaping our architecture, platform direction, and technical standards as the business and product portfolio continue to grow.
• Own our mobile architecture strategy, making thoughtful decisions across native, cross-platform, and hybrid approaches that balance developer productivity, platform consistency, performance, and customer experience.
• Lead the evolution of our native iOS and Android applications to React Native, making thoughtful architectural decisions that balance developer productivity, platform consistency, performance, and customer experience.
• Partner closely with Product and Engineering leaders across backend, infrastructure, and web to define technical vision, organizational structure, roadmap priorities, and strategic investments that enable a cohesive mobile platform.
• Champion engineering excellence by driving best practices across code quality, testing, CI/CD, observability, and AI-assisted, agentic software development.

Senior Engineering Manager, Mobile

• Support the product vision, roadmap, and execution for Geoforce’s core Asset Management and Tracking capabilities
• Partner with Engineering and UX as part of a Product Trio to discover, design, build, and deliver customer-focused solutions
• Engage directly with customers and internal teams to understand operational workflows, pain points, and product needs
• Translate customer needs and business goals into clear product requirements, user stories, and acceptance criteria
• Help prioritize and manage the product backlog in partnership with Product, Engineering, and Design leadership
• Support product discovery activities, including customer interviews, workflow analysis, competitive research, and solution validation
• Work closely with Engineering throughout development to answer questions, clarify requirements, and support delivery
• Participate in product testing and validation to ensure delivered solutions meet customer and business needs
• Contribute to continuous improvements in usability, performance, reliability, and scalability of the tracking experience
• Collaborate with Product Marketing and Customer Success to support product launches, adoption, and customer education
• Track and analyze product metrics, usage patterns, and customer feedback to measure success and guide future improvements
• Clearly communicate product progress, requirements, decisions, and tradeoffs to internal teams and stakeholders
• Develop strong knowledge of Geoforce customers, products, technology, and the industries we serve

Product Manager, Software

• Provide technical and organizational leadership for LPL Financial's advisor digital platform
• Lead multiple engineering teams responsible for advisor-facing applications, cloud-based platforms, enterprise integrations, and digital experiences
• Establishing priorities, align roadmaps, and deliver strategic initiatives
• Provide leadership for the design and implementation of secure, scalable cloud and hybrid-cloud architectures
• Promote software engineering best practices, including DevSecOps, continuous delivery, automation, and operational excellence
• Build strong partnerships across Product, Architecture, Infrastructure, Security, and Business organizations
• Lead the delivery of advisor-facing digital capabilities and enterprise platform enhancements

VP, Software Development Manager

• Provide strategic leadership for the Privileged Access Management (PAM) platform, defining vision, roadmaps, and long-term evolution for credential vaulting, session management, secrets management, and least-privilege access across the enterprise
• Lead teams responsible for securing privileged credentials and access paths, including account onboarding, rotation, session isolation, and policy enforcement for human and non-human identities
• Drive modernization of PAM capabilities, transitioning from legacy, manually managed access models to automated, policy-driven, and API-integrated solutions aligned with Zero Trust principles
• Guide adoption of DevSecOps and automation patterns for privileged access, including CI/CD integrations, secrets delivery, ephemeral credentials, and infrastructure-as-code enablement
• Oversee vulnerability reduction and risk mitigation related to privileged access, including elimination of hard-coded credentials, shared accounts, excessive entitlements, and standing access
• Partner closely with security architecture, IAM, cloud, infrastructure, and application teams to embed privileged access controls into platforms, pipelines, and operating models
• Manage a team of engineers designing, implementing, documenting, and supporting highly complex PAM solutions spanning CyberArk, secrets management platforms, directory services, cloud IAM, and hybrid environments
• Provide security consulting and design oversight for large enterprise initiatives to ensure privileged access patterns conform to information security policy, regulatory requirements, and audit expectations
• Serve as a subject matter expert in PAM technologies and best practices, staying current on emerging threats, access models, and platform capabilities
• Lead technical investigation and response for privileged access–related incidents, including root cause analysis and remediation recommendations to prevent recurrence
• Ensure PAM controls support availability, confidentiality, integrity, access governance, monitoring, and incident response, while enabling business agility and developer productivity
• Manage resource planning, prioritization, and financial stewardship for PAM engineering and platform investments
• Mentor, develop, and retain engineering talent, building strong technical depth and leadership capability within the PAM organization
• Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., GitHub Copilot and approved code-centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Information Security Engineering Manager – IAM

• Lead a team of 10 engineers across four foundational systems.
• Manage ~180 repos across high-scale enterprise platforms.
• Drive delivery on multiple Top 40 initiatives.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable delivery.
• Champion AI-forward engineering as a core team practice.
• Drive continuous improvement in observability instrumentation, monitoring and alerting, platform resiliency, and cloud cost optimization.

Software Engineer Manager – Customer Core Platforms

• Own the Tenant Engine roadmap and operating rhythm: prioritize remediation automation, portfolio-scale scanning, and the SME-gated regeneration loop
• Direct regeneration cycles: lead each scan → noise-filter → LLM-validation → remediated-code generation cycle
• Govern noise-filter rules and prompts: review and approve NF rule changes and validator/sampler prompt iterations
• Lead and develop the team: supervise the Applied AI Engineer, AI Platform Engineer, and scan-operations analysts
• Oversee scan operations at scale: hold accountability for scan coverage, SLA performance, output integrity, and per-finding cost
• Coordinate cross-track handoff: partner with DB & App and E2E QE leads
• Report quality and economics: translate false-positive rate, finding actionability, throughput, and unit-cost trends into clear updates for senior leadership
• Build operational independence: establish runbooks, processes, and team capability so the engine can operate, improve, and scale without executive intervention.

Software Engineering Manager – AI Lead, M&A & Partner Integration

• Own stewardship of the application's highest-risk, highest-impact domain areas. Keep them clean, tested, and maintainable so other teams can build on top of them with confidence.
• Build the measurement systems that tell you where risks live. Deployment frequency, days with commits, support ticket volume, and recurring failure patterns are your leading indicators. If you can't measure it, you can't protect it.
• Prioritize root cause over volume. When a class of problem keeps showing up, your job is to make it go away permanently, not to keep closing tickets against it.
• Lead your team's first-line triage of engineering support tickets. Own and resolve what you can, and route what you can't with the context already assembled so the receiving team isn't starting from zero.
• Push your team to make AI agents the default starting point for domain maintenance and support triage, not an afterthought. Review AI-generated work with the same rigor you'd apply to any code.
• Lead your team's AI adoption directly. Set the expectation clearly, give people support and time to build the skill, then hold them accountable.
• Build and champion the skills, prompts, and automation that turn a recurring problem into something AI catches or fixes before a human has to.
• Negotiate the boundaries of what your team owns versus what stays with the team that built it. Keep the scope tight and defensible.
• Represent your team's perspective on system health and support trends back to product and engineering leadership, and make the case for stability work with the same rigor others bring to feature work.
• Run the fundamentals of people management well. Clear expectations, regular high-quality 1:1s, direct feedback, and investment in your team's growth.
• Maintain enough hands-on technical involvement to stay credible on the work your team does and to unblock them when it matters.

Engineering Manager – Support & Stability

• Management of PV production estimates for early to late-stage developments and proposals
• PVsyst energy modeling, including terrain shade analysis, soiling and snow profiles, probability of exceedance analysis, and life cycle degradation projections
• Work cross functionally to drive design optimization and identify project risks and mitigations
• Collaborate with technical and procurement teams to efficiently model and assess equipment optionality
• Conduct capacity testing, including exhibit review, test plan development, and implementation
• Perform technical due diligence on PPA documentation and M&A activities to support contract negotiations
• Contribute to process development and initiatives aimed at furthering modeling team capabilities and accuracy
• Track and manage workflow of solar modeling team and proactively work with internal stakeholders to manage their expectations
• Works across the organization and with IE’s and OE’s to achieve consensus in the target energy outputs for the solar and solar plus storage projects

Senior Manager, PV Energy – Performance Engineering

• Drive Global Process Standardization: Design and implement a cohesive global framework to standardize manufacturing, test and business processes across multiple international sites, consolidating legacy regional documentation into a single engineering truth.
• Lead Lean & Continuous Improvement: Execute global Value Stream Mapping (VSM) exercises to identify waste, build and manage a high-ROI lean project pipeline, and cultivate a robust global Kaizen culture through Lean Six Sigma methodologies.
• Advance Automation & Industry 4.0: Identify high-value opportunities to augment manual workflows with Collaborative Robots (Cobots) and partner with Data Science teams to implement Machine Learning models for predictive maintenance and yield optimization.
• Ensure Safety & Quality Compliance: Enforce "Design for Safety" (DfS) protocols to reduce incident rates, architect 1:1 component-level traceability frameworks to meet client audit requirements, and align all engineering outputs with Customer Quality Agreements.

Manufacturing Engineering Director

• Lead and grow a team responsible for building and scaling SELECT, DoiT's cloud cost management platform.
• Play a key role in shaping the product roadmap, technical strategy and growth of the engineering organization.
• Partner with engineers to design scalable, reliable, and maintainable products across our application, data platform, and infrastructure.
• Drive engineering excellence through strong development practices, code quality standards, observability, reliability, and operational maturity.
• Conduct performance management, goal setting, growth planning, and regular one-on-one meetings.

Software Engineering Manager

• Lead transformation initiatives supporting migration from traditional AI architectures to an Agentic AI platform.
• Partner across Product, Engineering, Operations, Data Science, and vendor teams to define and execute transformation roadmaps.
• Establish scalable governance, delivery, measurement, and operationalization frameworks for Agentic AI capabilities.
• Drive adoption of new tools, processes, and operating models required to realize Agentic AI value.
• Identify opportunities to automate workflows, improve customer outcomes, reduce operational costs, and create business value through AI agents.
• Guide organizations through ambiguity as platforms, processes, and operating models evolve.
• Own end-to-end delivery of complex software initiatives from intake through deployment and optimization.
• Lead roadmap planning, dependency management, backlog prioritization, and release execution.
• Drive achievement of strategic business objectives through disciplined program management.
• Manage cross-functional delivery teams and vendor partnerships.
• Define KPI frameworks and benefit measurement methodologies.
• Analyze operational, customer, and business performance data to inform decisions.
• Translate complex analytics into actionable executive recommendations.
• Influence senior leaders and stakeholders across business and technology organizations.
• Create executive communications, governance materials, and transformation narratives.
• Build alignment across competing priorities and organizational boundaries.
• Develop adoption strategies for new AI capabilities and operating models.
• Lead organizational readiness and transformation activities.
• Champion a culture of innovation, experimentation, and continuous improvement.

Principal Software Delivery Project/Program Manager

• Owns specific product areas or features within HPC/AI system management and orchestration software, including definition, execution, and delivery.
• Contributes to the product roadmap by defining requirements, prioritizing features, and aligning with overall product and portfolio goals.
• Works closely with Software Architects and Engineering teams to translate requirements into scalable, high-quality software solutions.
• Develops and maintains product requirements (PRDs), user stories, and feature specifications with clear acceptance criteria.
• Engages with customers, partners, and internal stakeholders to gather requirements and understand use cases, particularly around system deployment, monitoring, orchestration, and lifecycle management.
• Helps define the value proposition and positioning for product features within HPC/AI management and orchestration solutions.
• Supports cross-product alignment by collaborating with other product managers to ensure consistency in user experience, APIs, and platform capabilities.
• Participates in planning, prioritization, and release cycles, ensuring timely and high-quality delivery of product commitments.
• Works with Engineering, QA, and DevOps teams to ensure successful product delivery, validation, and release readiness.
• Supports go-to-market activities, including documentation, training, and customer engagement for product features.
• Monitors product performance and customer feedback to identify areas for improvement and future enhancements.

Product Manager, HPC/AI Software

• Help set and support strategic direction for the Compute Services team
• Drive alignment and be responsible for the results of the team in support of broader company objectives.
• Collaborate with senior individual contributors to create an engaging technical vision for your team
• Work with cross-functional partners to define the best solutions for our customers, both internal and external.
• Work to scope and plan key deliverables for projects and initiatives with the team.
• Drive execution with an emphasis on iterations and deliverables, quality, velocity, and communication.
• Provide technical leadership to developers both in your team and across the engineering organization.
• Coach individual contributors to help them reach their full potential.
• Recruit and retain top tier talent in a fast growing environment.
• Continue scaling a highly specialized engineering team by working with a team of Engineering Managers to continuously refine hiring, onboarding, and development processes.

Engineering Manager, Compute Services

• Design and implement cybersecurity solutions for industrial settings
• Lead teams in managing client accounts and engagements
• Mentor junior staff to enhance their technical skills
• Develop strategic plans to enhance cybersecurity measures
• Analyze and assess risks to critical infrastructure
• Collaborate with stakeholders to maintain compliance and safety
• Drive continuous improvement in cybersecurity practices
• Foster a culture of innovation and resilience within the team

Cyber Defense & Engineering – Operational Technology Consulting Manager

• Lead complex, large-scale security programs that span multiple functions, run on multi-year horizons, and shape business direction
• Lead the execution strategy and delivery plans for resilient CI/CD, software supply chain security, cloud security initiatives, and AI-enabled security services
• Synthesize program status and complex risks into clear narratives to inform executive decisions
• Champion a customer-first approach for the engineering teams you serve
• Strengthen program management practices and standards to ensure consistent, high-quality delivery

Senior Engineering Program Manager

• Lead customer-facing Agentic AI product leveraging LLMs, agents, and internal APIs.
• Work with partners like OpenAI to integrate Jerry.ai services into the ChatGPT app.
• Define prompt consolidation and migration strategy.
• Own the technical prioritization queue and chatbot prioritization.
• Track emerging technology and manage the OpenAI relationship.

Technical Product Manager, AI Engineering – Systems

• Lead the customer-facing Agentic AI product leveraging LLMs, agents, and internal APIs.
• Define the strategy for migrating prompts onto a unified platform.
• Own the technical prioritization queue for chatbot projects.
• Track voicebot and computer use for investment decisions.
• Collaborate with engineering, data, operations, and other teams on execution.

Engineering Manager jobs in Texas

See all jobs on JobTailor